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X-WR-CALDESC:Events for CREST
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DTSTART;VALUE=DATE:20240909
DTEND;VALUE=DATE:20240917
DTSTAMP:20260710T144417
CREATED:20240731T084930Z
LAST-MODIFIED:20240906T113644Z
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SUMMARY:Market Power\, Randomization and Regulation\, Simon Loertscher (University of Melbourne)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nMonday\n9th September 2024 \n16th September 2024\nFrom 9:00 to 12:15 \nFrom 13:30 to 16:45\n  \nRoom 2003\n\n\n  \nThursday\n  \n12th September 2024\n  \nFrom 13:30 to 16:45\n  \nRoom 2003\n\n\n\nOutline\nMonopoly and monopsony pricing problems are of long-standing interest in economics. With the\nemergence of large online platforms in the digital age\, they have received renewed salience and attention.\nThis course provides an overview of recent theoretical advances based on incomplete information models.\nThese shed new light on a broad array of issues\, ranging from the optimality of rationing and involuntary\nunemployment to resale\, opaque pricing by multi-product monopolies\, market definition in antitrust and\nmerger effects to optimal regulation in the tradition of Ramsey.\nThe incomplete information approach not only provides a coherent explanation for otherwise puzzling\nphenomena. For example\, why does the seller of concert tickets underprice these\, thereby inviting resale\,\nrather than set a market-clearing price? Why do multi-product sellers offer opaque products\, leaving buyers\nin the dark as to what they purchased until after the fact? It also implies that\, because of incentive\ncompatibility\, perfect price discrimination is not possible\, and it permits clear-cut predictions of the form\nprice discrimination takes\, with and without resale. By assuming that the firm always chooses the optimal\nmechanism\, the approach is immune to the criticism that its predictions hinge on ad-hoc restrictions. A\ntradeoff between social surplus and profit derives from the primitives. \n\n
URL:https://crest.science/event/market-power-randomization-and-regulation-simon-loertscher-university-of-melbourne/
CATEGORIES:Doctoral Courses,Economics
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DTSTART;TZID=Europe/Helsinki:20240909T121500
DTEND;TZID=Europe/Helsinki:20240909T133000
DTSTAMP:20260710T144417
CREATED:20240715T085947Z
LAST-MODIFIED:20240906T122126Z
UID:17167-1725884100-1725888600@crest.science
SUMMARY:Simon LOERTSCHER (University of Melbourne) - "Optimal Regulation with and Without Regularity"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 09/09/2024\nSalle : 3001 \nSimon LOERTSCHER (University of Melbourne) – “Optimal Regulation with and Without Regularity” \nJoint paper with Ellen Muir. \nOrganisateurs : \nJulien COMBE (Pôle d’Economie du CREST)\n​​​​​​​​​​​​Yves Le YAOUNQ (Pôle d’Economie du CREST)\n​​​​​​​​​Matias NUNEZ (Pôle d’Economie du CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/simon-loertscher-university-of-melbourne-tba-2/
CATEGORIES:Microeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20240909T121500
DTEND;TZID=Europe/Helsinki:20240909T133000
DTSTAMP:20260710T144417
CREATED:20240725T080829Z
LAST-MODIFIED:20240903T073906Z
UID:17191-1725884100-1725888600@crest.science
SUMMARY:Omar LICANDRO (University of Leicester) "The Neoclassical Model and the Welfare Costs of Selection"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate : 09 Septembre 2024 \nSalle 3001 \nOmar LICANDRO (University of Leicester) “The Neoclassical Model and the Welfare Costs of Selection” \nAbstract: This paper aims at sheding light on the counterbalancing costs and benefits of policies addresses to improve market selection. Having this in mind\, the paper embeds firm dynamics into the Neoclassical model in a framework that allows for a simple characterization of the transitional dynamics of economies moving towards more selection. As in the Neoclassical\nmodel\, markets are perfectly competitive\, there is only one good and two production factors (capital and labor). At equilibrium\, aggregate technology is Neoclassical\, but the average quality of capital and the depreciation rate are both endogenous and positively related to selection. At steady state\, output per capita and welfare both raise with selection. However\, the selection process destroys past production capacities contributing to transitional welfare losses that may reduce in around 60% long term (consumption equivalent) welfare gains.  \nJoint work : Fabrice COLLARD (TSE) \n  \nOrganizer : Julien PRAT \n
URL:https://crest.science/event/omar-licandro-university-of-leicester-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240909T140000
DTEND;TZID=Europe/Helsinki:20240909T153000
DTSTAMP:20260710T144417
CREATED:20240903T123745Z
LAST-MODIFIED:20240903T123848Z
UID:17263-1725890400-1725895800@crest.science
SUMMARY:Etienne BOURSIER (INRIA) "Early alignment in two-layer networks training is a two-edged sword"
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 09th September 2024\nPlace: 3001 \n  \nEtienne BOURSIER (INRIA) “Early alignment in two-layer networks training is a two-edged sword” \n  \n Abstract: Training neural networks with first order optimisation methods is at the core of the empirical success of deep learning. The scale of initialisation is a crucial factor\, as small initialisations are generally associated to a feature learning regime\, for which gradient descent is implicitly biased towards simple solutions. This work provides a general and quantitative description of the early alignment phase\, originally introduced by Maennel et al. (2018) . For small initialisation and one hidden ReLU layer networks\, the early stage of the training dynamics leads to an alignment of the neurons towards key directions. This alignment induces a sparse representation of the network\, which is directly related to the implicit bias of gradient flow at convergence. This sparsity inducing alignment however comes at the expense of difficulties in minimising the training objective: we also provide a simple data example for which overparameterised networks fail to converge towards global minima and only converge to a spurious stationary point instead. \n  \nOrganizers: \nKarim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/etienne-boursier-inria-early-alignment-in-two-layer-networks-training-is-a-two-edged-sword/
CATEGORIES:Seminars,Statistics
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